[Python] How can I scrape this data? [BeautifulSoup4 with Python]

I've found a way to scrape other websites, but for this code it requires a special "browser" to access the html variables, thing is after I do this, the program doesn't crash, but no longer works.

Variables I want: rank, name, code, points (https://i.sstatic.net/POMEz.jpg)

This is the code that I made but it doesn't work on this website: [Runs but nothing reads/saves]

from urllib.request import urlopen as uReq
from urllib.request import Request
from bs4 import BeautifulSoup as soup

myUrl = "https://mee6.xyz/levels/159962941502783488"

req = Request(
myUrl,
data=None,
headers={
'User-Agent':'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.103 Safari/537.36'
}
)

uClient = uReq(req)
pageHtml = uClient.read()
uClient.close()

page_soup = soup(pageHtml, "html.parser")

containers = page_soup.findAll("div",{"class":"Player"})
print(containers)


The code I used that did work was from a youtube tutorial, when changing the url it wont work with the mee6 leaderboard because it refuses the browser: [Crashes for the mee6 url]

from urllib.request import urlopen as uReq
from bs4 import BeautifulSoup as soup
import csv

my_url = "https://www.newegg.ca/Product/ProductList.aspx?Submit=ENE&N=100007708%20601210955%20601203901%20601294835%20601295933%20601194948&IsNodeId=1&bop=And&Order=BESTSELLING&PageSize=96"

uClient = uReq(my_url)
page_html = uClient.read()
uClient.close()

page_soup = soup(page_html, "html.parser")
containers = page_soup.findAll("div",{"class":"item-container"})
filename = "GPU Prices.csv"
header = ['Price', 'Product Brand', 'Product Name', 'Shipping Cost']

with open(filename, 'w', newline='') as f_output:
csv_output = csv.writer(f_output)
csv_output.writerow(header)

for container in containers:
price_container = container.findAll("li", {"class":"price-current"})
price = price_container[0].text.replace('\xa0', ' ').strip(' –\r\n|')

brand = container.div.div.a.img["title"]

title_container = container.findAll("a", {"class":"item-title"})
product_name = title_container[0].text

shipping_container = container.findAll("li", {"class":"price-ship"})
shipping = shipping_container[0].text.strip()

csv_output.writerow([price, brand, product_name, shipping])

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